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Posted Date: 31 Jan 2020      Posted By:: Shouvik Maj    Member Level: Silver  Points: 3 (₹ 3)

2019 B.E. Electronics & Tele-Communication Engineering B.E Jadavpur University Electronics Engineering - Signal Theory and Noise (2nd Year First Semester) -2019 Question paper



Course: B.E. Electronics & Tele-Communication Engineering   University/board: Jadavpur University

Are you looking for the old question papers of Jadavpur University Electronics Engineering - Signal Theory and Noise ? Here is the previous year question paper from Jadavpur University. This is the original question paper from the ETCE Department second year first semester exam conducted by Jadavpur University in year 2019. Feel free to download the question paper from here and use it to prepare for your upcoming exams.



{Scroll Below to get the PDF Attachment file of the Original Question Paper}

Exam Name- B.E Electronics and Tele-Communication Exam
2nd Year- 1st Semester

Subject- Signal Theory and Noise

Total Time- Three Hours
Maximum Marks- 100

Syllabus

Introduction, Signal definition, different type of signals: analog & discrete. time
domain and frequency domain representation, periodic and aperiodic signals, energy and
power signal, deterministic and non-deterministic signal, signals and vector analogy,
othogonality of signal functions, some useful signal operations,
Basis function and concept of generalized Fourier series: different forms, Fourier
series of some useful functions, Fourier transform, inverse Fourier transforms, transform
of some useful functions, convolution and correlation in time domain and frequency
domain. Some properties of Fourier transform. Perseval's theorem, energy spectral
density, essential bandwidth of a signal, energy of the modulated signal, time
autocorrelation function and the energy spectral density, power spectral density, time
autocorrelation function of power signals, Input and output power spectral densities, psd
of modulated signals.
Sampling theorem, Sampling and re-construction of signals, practical difficulties in signal
reconstruction, Aliasing, different types of sampling, some applications of the sampling
theorem.
Sources of noise: atmospheric noise, solar noise, cosmic noise, industrial noise, thermal
noise, shot noise, transit-time noise, flicker noise. Noise calculations: resistor noise,
multiple-resistor noise sources, noise in reactive circuits, signal-to-noise ratio, noise
figure, noise temperature, calculation of noise due to several amplifiers in cascade,
calculation of noise figure and equivalent noise temperature of a cascade. Some
statistical terms: random variable, random process, ensemble, sample function, time
average, ensemble average, stationary and ergodic process, correlation between two
random variables. Mathematical representation of noise: frequency domain
representation of noise, spectral components of noise, superposition of noise, mixing of
noise, effect of a filter on the power spectral density of noise, linear filtering-rc low-pass
filter, rectangular low-pass filter, rectangular band-pass filter, differentiating filter,
integrator, noise bandwidth, quadrature components of noise, power spectral density
calculation of quadrature components, concept of additive white Gaussian noise channel.
Familiarization with MATLAB tools for signal analysis.



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